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dc.contributor.advisorOlsen, R.C.
dc.contributor.authorHelt, Michael F.
dc.date.accessioned2012-03-14T17:33:53Z
dc.date.available2012-03-14T17:33:53Z
dc.date.issued2005-09
dc.identifier.urihttp://hdl.handle.net/10945/2030
dc.description.abstractLIDAR data taken over the Elkhorn Slough in Central California are analyzed for terrain. The specific terrain element of interest is vegetation, and in particular, tree type. Data taken on April 12th, 2005, were taken over a 10 km x 20 km region which is mixed use agriculture and wetlands. Time return and intensity were obtained at ~2.5 m postings. Multi-spectral imagery from QuickBird was used from a 2002 imaging pass to guide analysis. Ground truth was combined with the orthorectified satellite imagery to determine regions of interest for areas with Eucalyptus, Scrub Oak, Live Oak, and Monterey Cyprus trees. LIDAR temporal returns could be used to distinguish regions with trees from cultivated and bare soil areas. Some tree types could be distinguished on the basis of the relationship between first/last extracted feature returns. The otherwise similar Eucalyptus and Monterey Cyprus could be distinguished by means of the intensity information from the imaging LIDAR. The combined intensity and temporal data allowed accurate distinction between the tree types, and task not otherwise practical with the satellite spectral imagery.en_US
dc.description.urihttp://archive.org/details/vegetationidenti109452030
dc.format.extentxvi, 65 p. : col. ill. ;en_US
dc.publisherMonterey California. Naval Postgraduate Schoolen_US
dc.rightsApproved for public release, distribution unlimiteden_US
dc.subject.lcshOptical radaren_US
dc.titleVegetation identification with Lidaren_US
dc.typeThesisen_US
dc.contributor.secondreaderRoss, Alan
dc.contributor.corporateNaval Postgraduate School (U.S.).
dc.contributor.departmentDepartment of Space Systems Academic Group
dc.identifier.oclc62165181
etd.thesisdegree.nameM.S.en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineSpace Systems Operationsen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US


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